Objectives

Develop a 3D Visualization Engine:

Create a robust engine capable of rendering high-resolution 3D models of cells. Implement smooth navigation and interaction features (zoom, rotate, pan). Integrate AI for Enhanced Visualization:

Utilize AI to enhance the visualization with features like cell segmentation, structure identification, and anomaly detection. Implement machine learning models to predict cellular behavior based on input data. User Interface Development:

Design an intuitive and user-friendly interface for seamless interaction with the 3D models. Provide tools for annotations, measurements, and data overlay. Support for Educational Content:

Develop educational modules to help students and educators learn about cellular biology through interactive 3D models. Create tutorials and documentation to guide users through the features of the tool. Key Features: High-Resolution 3D Models: Detailed representation of various cell types and structures. Interactive Tools: Zoom, rotate, pan, and annotate cellular models. AI-Powered Analysis: Automatic cell segmentation, structure identification, and anomaly detection. Educational Modules: Interactive tutorials and educational content for students and educators. Data Integration: Support for importing and visualizing user-provided data.